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Acme Infovision logo — Acme Infovision AI Engineer (LLM) in Hubballi, Karnataka
Acme Infovision VerifiedActively Hiring

AI Engineer (LLM)

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Location

Hubballi, Karnataka

Work Mode

In Office

Duration

0 months

Stipend

₹54,000/mo

Start Date

Immediate / as per notice period

Openings

5 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹54,000/moApply on Company Website ↗

About the Internship

Acme Infovision has an opening for a AI Engineer (LLM) in Hubballi. If you would rather learn by owning something small and real than by watching from the sidelines, this full-time applied generative AI role is built that way. About the role In this role you will be building product features on…

About Acme Infovision

Acme Infovision is hiring a AI Engineer (LLM) in Hubballi — a full-time full-time position working in Python, LLM APIs and a vector store, with an indicative CTC of 4.3 LPA–8.6 LPA and 5 openings.
Hubballi, KarnatakaVerified employer5 openings
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Skills Required

PythonLLM APIsPrompt DesignRetrieval-Augmented GenerationVector DatabasesEvaluation SetsREST APIsCost & Latency ManagementGitError Analysis

Who Can Apply

  • B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) graduates with 0–2 years of relevant experience, based in Hubballi or willing to relocate. You should be comfortable with Python, LLM APIs, Prompt Design, Candidates from any recognised university are welcome, and career-changers with demonstrable skills are read on the same terms as fresh graduates. Freshers and final-year students awaiting results are welcome to apply — the selection process is designed to test how you think, not how much you have already memorised.

Perks

Modern hardware and the tool licences your role needsInternal knowledge sessions and access to senior reviewersClear, written progression criteria rather than an annual surpriseEmployee referral and performance bonus schemesTeam offsites and regular in-person timeSupport for internal mobility across teamsFixed monthly salary, paid on timeStructured onboarding with a named mentor for the first 90 days

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Take-home exercise or live problem-solving discussion
  3. 3HR discussion — compensation, notice period, joining date and offer roll-out
54,000/month

Stipend · 0 months

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Openings5 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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